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GitHub / sayande01 / Ensemble_Learning_ML

This project investigates ensemble learning techniques, combining multiple models to enhance accuracy and robustness. It covers both basic methods (Max Voting, Averaging, Weighted Averaging) and advanced techniques (Stacking, Blending, Bagging, Boosting), aiming to improve predictive performance by addressing model weaknesses.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayande01%2FEnsemble_Learning_ML
PURL: pkg:github/sayande01/Ensemble_Learning_ML

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 1.02 MB
Dependencies parsed at: Pending

Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 4 months ago

Topics: ensemble-learning, voting-classifier, voting-regressor

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